Mr. Haoran Jiang | Decision-making and Problem-solving | Best Researcher Award |3237

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Mr. Haoran Jiang | Decision-making and Problem-solving | Best Researcher Award

Shanghai AI Lab, China

Profile 

Google scholar 

🌟 Summary

Haoran Jiang is a dedicated researcher in Operations Research and Cybernetics, specializing in weakly supervised and representation learning. With a solid academic foundation and hands-on experience in various advanced research projects, he has published multiple papers in renowned conferences and journals. His commitment to personal growth and community service reflects his leadership skills and passion for knowledge.

🎓 Education

University of Chinese Academy of Sciences (UCAS): M.S. in Operations Research and Cybernetics (Sept. 2021 – Jun. 2024), GPA: 3.82/4, focusing on Weakly Supervised Learning and Representation Learning, with coursework in Pattern Recognition, NLP, and Optimization.

Hunan University (HNU): B.S. in Statistics (Sept. 2017 – Jun. 2021), GPA: 3.85/4 (Rank: 1/29), with coursework in Mathematical Analysis, Probability Theory, and Data Mining.

💼 Professional Experience

As a researcher, Haoran has worked on projects such as Interpretable Semantic Disambiguation (Jun. 2023 – Present), where he developed mechanisms for attribute-based feature extraction. He also contributed to Contrastive Learning for Complementary Label Learning (Aug. 2022 – Mar. 2023), proposing an approach that improved state-of-the-art methods by up to 14.61%. In the Image Tampering Detection project (Aug. 2022 – Oct. 2022), he designed a module for semantic suppression, enhancing detection accuracy. Notably, he established a new X-ray dataset for COVID-19 detection, achieving 72.5% accuracy using zero-shot learning.

🔍 Research Interests

Haoran’s research interests include weakly supervised learning, representation learning, contrastive learning, and image recognition and analysis, alongside optimization techniques.

🏆 Honors & Awards

He has received numerous accolades, including the National Scholarship (Top 1%) and Outstanding Graduate from Hunan Province, as well as multiple prizes in mathematics and translation competitions.

🤝 Community Engagement

Haoran actively engages with the community as a Deputy Grade Leader at HNU, organizing educational events, and as a commissioner for party branch activities at UCAS. He volunteers for various initiatives and is a proud member of the university basketball team.

Notable Publications

Safl-net: Semantic-agnostic feature learning network with auxiliary plugins for image manipulation detection

Authors: Z. Sun, H. Jiang, D. Wang, X. Li, J. Cao

Journal: Proceedings of the IEEE/CVF International Conference on Computer Vision

Year: 2023

Image recognition and empirical application of desert plant species based on convolutional neural network

Authors: J. Li, S. Sun, H. Jiang, Y. Tian, X. Xu

Journal: Journal of Arid Land

Year: 2022

ComCo: Complementary supervised contrastive learning for complementary label learning

Authors: H. Jiang, Z. Sun, Y. Tian

Journal: Neural Networks

Year: 2024

Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes

Authors: H. Jiang, Z. Sun, Y. Tian

Journal: AAAI (Oral)

Year: 2024

Dr. Landi Bai | Decision-making and Problem-solving | Best Researcher Award

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Dr. Landi Bai | Decision-making and Problem-solving | Best Researcher Award

Tianjin University, China

Profile 

Scopus 

🎓 Education

Landi Bai earned her Ph.D. in Electrical and Information Engineering from Tianjin University in 2024.

💼 Professional Experience

Currently, she serves as an Assistant Research Fellow at the School of Electrical and Information Engineering at Tianjin University.

🔍 Research Interests

Her research focuses on oil-water two-phase flow dynamics, flow pattern evolution, conductance sensors, and recurrence analysis.

📚 Key Contributions

In her recent work, Landi investigates oil-water flow patterns in vertical large-diameter pipes using innovative mini-conductance and multi-electrode array measurement systems. Her findings on flow pattern transitions provide valuable insights for oilfield production logging.

🏆 Publications and Achievements

Landi has published 20 journals in SCI and Scopus, holds 6 patents, and her work has been cited extensively, including a notable publication:
[1] Experimental study of oil-water two-phase flow patterns, Flow Measurement and Instrumentation (2024).

 

Notable Publications

Experimental study of oil-water two-phase flow patterns in a vertical large diameter pipe

Authors: Bai, L., Jin, N., Zhang, J., Ouyang, L., Wang, C.

Journal: Flow Measurement and Instrumentation

Year: 2024

Nonlinear Analysis for Identification of Vertical Upward Oil-Water Two-Phase Flow Patterns

Authors: Zhang, Z., Jin, N., Bai, L., Ren, W., Wei, J.

Journal: IEEE Sensors Journal

Year: 2024

Water Holdup Measurement in Oil-Water Flows with Staggered Double Helix Microwave Sensor

Authors: Bai, L., Jin, N., Ma, J., Liu, W.

Journal: IEEE Sensors Journal

Year: 2023

Measurement of Inclined Oil-Water Two-Phase Flows With the Combination of Electromagnetic Flowmeter and Differential Pressure Sensor

Authors: Liu, Y., Tang, Z., Bai, L., Jiang, B., Jin, N.

Journal: IEEE Sensors Journal

Year: 2023

Soft Measurement of Oil–Water Two-Phase Flow Using a Multi-Task Sequence-Based CapsNet

Authors: OuYang, L., Jin, N., Bai, L., Ren, W.

Journal: ISA Transactions

Year: 2023

yan yin- Decision-making and Problem-solving-Best Researcher Award 

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yan yin- Decision-making and Problem-solving-Best Researcher Award 

Changchun University of Technology-China 

Author Profile 

Early Academic Pursuits

Yan Yin commenced his academic journey at Changchun University of Technology, specializing in Computer Science and Technology from 2017.9 to 2021.6. This foundational period laid the groundwork for his future in the field.

Continuing his educational pursuit, Yan Yin furthered his studies at Changchun University of Technology, focusing on Computer Technology from 2021.9 to 2024.6. This transition reflects his commitment to advancing his knowledge and expertise in the rapidly evolving field of technology.

Professional Endeavors

Armed with a post-graduate degree, Yan Yin ventured into the realm of Reinforcement Learning and Robotics, showcasing a dedication to cutting-edge areas of research. His professional endeavors highlight a desire to contribute to advancements in these fields.

Contributions and Research Focus

Yan Yin's notable research achievements include the publication of papers such as "A Maples Local Path Planning Approach using Deep Reinforcement Learning Framework" and "Autonomous Navigation Of Mobile Robots in Unknown Environment Using Off Policy Reinforcement Learning With Curriculum Learning." These contributions underscore his focus on innovative approaches in robotics and reinforcement learning.

Accolades and Recognition

Yan Yin has received prestigious honors, including First-Class, Second-Class, and Third-Class Scholarships, acknowledging his academic excellence. Additionally, he has excelled in the Robo Master AI Challenge, earning recognition for his contributions to AI innovation.

Impact and Influence

His proficiency in simulation methods, programming languages such as C++, Java, and Python, as well as hands-on experience with physical experiments using Raspberry Pi and DJI Mobile robots, showcase Yan Yin's versatile skill set. This breadth of expertise positions him as an influential figure in both theoretical and practical aspects of technology.

Legacy and Future Contributions

Yan Yin's legacy is marked by his early academic achievements, dedication to professional growth, and impactful research in reinforcement learning and robotics. As he continues to explore new frontiers, his future contributions hold the promise of further advancements in technology and artificial intelligence.

In conclusion, Yan Yin's academic and professional journey reflects a commitment to excellence, innovation, and a promising future as a contributor to the rapidly evolving landscape of technology and robotics.

Notable Publications